Source code for tests.system.providers.amazon.aws.example_cloudformation

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from __future__ import annotations

import json
from datetime import datetime

from airflow import DAG
from airflow.models.baseoperator import chain
from airflow.providers.amazon.aws.operators.cloud_formation import (
    CloudFormationCreateStackOperator,
    CloudFormationDeleteStackOperator,
)
from airflow.providers.amazon.aws.sensors.cloud_formation import (
    CloudFormationCreateStackSensor,
    CloudFormationDeleteStackSensor,
)
from airflow.utils.trigger_rule import TriggerRule
from tests.system.providers.amazon.aws.utils import SystemTestContextBuilder

[docs]sys_test_context_task = SystemTestContextBuilder().build()

[docs]DAG_ID = "example_cloudformation"

# The CloudFormation template must have at least one resource to
# be usable, this example uses SQS as a free and serverless option.
[docs]CLOUDFORMATION_TEMPLATE = {
    "Description": "Stack from Airflow CloudFormation example DAG",
    "Resources": {
        "ExampleQueue": {
            "Type": "AWS::SQS::Queue",
        }
    },
}

with DAG(
    dag_id=DAG_ID,
    schedule="@once",
    start_date=datetime(2021, 1, 1),
    tags=["example"],
    catchup=False,
) as dag:
[docs]    test_context = sys_test_context_task()
    env_id = test_context["ENV_ID"]

    cloudformation_stack_name = f"{env_id}-stack"
    cloudformation_create_parameters = {
        "StackName": cloudformation_stack_name,
        "TemplateBody": json.dumps(CLOUDFORMATION_TEMPLATE),
        "TimeoutInMinutes": 2,
        "OnFailure": "DELETE",  # Don't leave stacks behind if creation fails.
    }

    # [START howto_operator_cloudformation_create_stack]
    create_stack = CloudFormationCreateStackOperator(
        task_id="create_stack",
        stack_name=cloudformation_stack_name,
        cloudformation_parameters=cloudformation_create_parameters,
    )
    # [END howto_operator_cloudformation_create_stack]

    # [START howto_sensor_cloudformation_create_stack]
    wait_for_stack_create = CloudFormationCreateStackSensor(
        task_id="wait_for_stack_create",
        stack_name=cloudformation_stack_name,
    )
    # [END howto_sensor_cloudformation_create_stack]
    wait_for_stack_create.poke_interval = 10

    # [START howto_operator_cloudformation_delete_stack]
    delete_stack = CloudFormationDeleteStackOperator(
        task_id="delete_stack",
        stack_name=cloudformation_stack_name,
    )
    # [END howto_operator_cloudformation_delete_stack]
    delete_stack.trigger_rule = TriggerRule.ALL_DONE

    # [START howto_sensor_cloudformation_delete_stack]
    wait_for_stack_delete = CloudFormationDeleteStackSensor(
        task_id="wait_for_stack_delete",
        stack_name=cloudformation_stack_name,
    )
    # [END howto_sensor_cloudformation_delete_stack]
    wait_for_stack_delete.poke_interval = 10

    chain(
        # TEST SETUP
        test_context,
        # TEST BODY
        create_stack,
        wait_for_stack_create,
        delete_stack,
        wait_for_stack_delete,
    )

    from tests.system.utils.watcher import watcher

    # This test needs watcher in order to properly mark success/failure
    # when "tearDown" task with trigger rule is part of the DAG
    list(dag.tasks) >> watcher()


from tests.system.utils import get_test_run  # noqa: E402

# Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)
[docs]test_run = get_test_run(dag)